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inkflow_capabilities

INKFLOW's full catalogue: complete full-length books (45k up to 900,000-word COLOSSAL editions, every genre, 26 languages written natively), multi-volume series with automatic continuity bibles, manuals/SOPs/technical specs, and ULTRA-trained LoRA digital actors (.safetensors, rank-64, for AI video production) with persistent-world object LoRAs. Returns products, tiers, genres, languages and live prices in the requested currency. Machine-audited quality on every chapter; typical novel delivered in under 24 hours. (Book-to-movie episodic adaptation is in development and not currently orderable.)

Input Schema

NameRequiredDescriptionDefault
currencyNoISO currency for prices (default USD)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral burden. It discloses useful traits such as live prices in the requested currency and that book-to-movie adaptation is not currently orderable, but it does not mention authentication needs, rate limits, pagination, or exact response structure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The catalogue scope is front-loaded in a single dense sentence, followed by return-value and delivery details. Marketing-heavy terms like "COLOSSAL" and "ULTRA-trained" are unnecessary, but the overall structure remains efficient and information-rich.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple one-optional-parameter catalogue tool with no output schema, the description adequately explains what is returned: products, tiers, genres, languages, and live prices. Exact response shape is not described, but the agent has enough context to call the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% for the single optional currency parameter, so the schema already explains the ISO currency format and USD default. The description reinforces that prices are returned in the requested currency, adding slight meaning but not going beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies this as INKFLOW's full catalogue and enumerates the product types, tiers, genres, languages, and prices returned. It distinguishes itself from siblings by being the discovery/catalogue endpoint rather than an ordering, quoting, balance, or job-status tool, though it does not explicitly name those alternatives.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied: an agent can infer this is the entry point for learning what INKFLOW offers before calling quote, order, or free-sample tools. However, the description does not explicitly state when to use this versus siblings or mention any prerequisites, so the guidance is only adequate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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